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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
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As an Applied AI/ML Lead within the Consumer & Community Banking Machine Learning team, you will drive innovation by architecting and overseeing the development of next-generation machine learning models and systems. You will be responsible for building secure, high-quality production code, providing technical guidance to teams and vendors, and ensuring solutions are reliable, scalable, and consistent across operational workflows. Your daily work involves improving data quality, monitoring models in production, and developing AI Agents using tools like LangChain, LangGraph, or AutoGen. You will leverage Python, Java, Terraform, CloudFormation, and Jenkins to build RAG-based solutions and manage software development pipelines. The role focuses on solving complex problems in the financial services domain, specifically utilizing LLM-based methods and advanced analytics to reduce agent effort and shorten resolution times across various banking products.
Machine Learning
Deep Learning
Large Language Models
Generative AI
Python
PyTorch
TensorFlow
RAG
Prompt Engineering
Multi-agent Orchestration
AWS
SageMaker
EKS
Distributed Training
Reinforcement Learning
Meta Learning
Search/Ranking
Recommender Systems
Graph Techniques